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200 10$aWell-posedness of the Cauchy problem for nxn systems of conservation laws /$fAlberto Bressan, Graziano Crasta, Benedetto Piccoli
210  1$aProvidence, Rhode Island :$cAmerican Mathematical Society,$d[2000]
210  4$d©2000
215   $a1 online resource (149 p.)
225 1 $aMemoirs of the American Mathematical Society,$x0065-9266 ;$vnumber 694
300   $aDescription based upon print version of record.
311   $a0-8218-2066-4 
320   $aIncludes bibliographical references (pages 133-134).
327   $a""Contents""; ""Chapter 1. Introduction""; ""Chapter 2. Outline of the proof""; ""Chapter 3. Construction of local semigroups""; ""Chapter 4. Restarting Procedures""; ""Chapter 5. Proof of Proposition 2.4""; ""Chapter 6. Proof of Proposition 2.5""; ""Chapter 7. Proof of Proposition 2.7""; ""Chapter 8. Proof of Proposition 2.10""; ""Chapter 9. Proof of Proposition 2.15""; ""Chapter 10. Completion of the proof""; ""Chapter 11. Appendix""; ""Bibliography""
410  0$aMemoirs of the American Mathematical Society ;$vno. 694.
606   $aCauchy problem
606   $aConservation laws (Mathematics)
615  0$aCauchy problem.
615  0$aConservation laws (Mathematics)
676   $a510 s
676   $a515/.353
700   $aBressan$b Alberto$f1956-$0521248
702   $aCrasta$b Graziano
702   $aPiccoli$b Benedetto$f1968-
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906   $aBOOK
912   $a9910812747603321
996   $aWell-posedness of the Cauchy problem for nxn systems of conservation laws$94021087
997   $aUNINA

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024 7 $a10.1007/978-1-4614-5453-3
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200 10$aMultivariate statistical quality control using R /$fEdgar Santos-Fernandez
205   $a1st ed. 2013.
210   $aNew York $cSpringer$d2012
215   $a1 online resource (133 p.)
225  0$aSpringerBriefs in statistics,$x2191-544X
300   $aDescription based upon print version of record.
311   $a1-4614-5452-2 
320   $aIncludes bibliographical references and index.
327   $aAn introduction to R -- Basic Statistical and SQC Procedures -- Multivariate Control Charts -- Multivariate Process Capability -- Multivariate tools of support for MSQC -- Appendix -- Index -- Problem -- Solutions.
330   $aThe intensive use of automatic data acquisition system and the use of cloud computing for process monitoring have led to an increased occurrence of industrial processes that utilize statistical process control and capability analysis.  These analyses are performed almost exclusively with multivariate methodologies. The aim of this Brief is to present the most important MSQC techniques developed in R language. The book is divided into two  parts. The first part contains the basic R elements, an introduction to statistical procedures, and the main aspects related to Statistical Quality Control (SQC). The second part covers the construction of multivariate control charts, the calculation of Multivariate Capability Indices. .
410  0$aSpringerBriefs in Statistics,$x2191-544X ;$v14
606   $aQuality control$xStatistical methods
606   $aMultivariate analysis
606   $aR (Computer program language)
615  0$aQuality control$xStatistical methods.
615  0$aMultivariate analysis.
615  0$aR (Computer program language)
676   $a658.5
676   $a658.5/62
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700   $aSantos-Fernandez$b Edgar$01059539
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906   $aBOOK
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996   $aMultivariate Statistical Quality Control Using R$92506818
997   $aUNINA